Senior Data Analyst
Remote
crypto
adtech
Senior-Data-Analyst
Product-Analytics
Marketing-Analytics
Data-&-Analytics
Senior-Data-Analytics
Senior-Level-Data-Analyst
Senior-Staff-Data-Analyst
Senior-Data-Analyst-Jobs
Senior-Data-Analyst-Roles
Senior-BI-Analyst
Senior-Business-Intelligence-Analyst
Customer-Data-Platforms
📍 United States
Published: 18 June 2026
Updated: 1 week ago
📝 Description
📋 What you will do
- Partner with product managers to define product KPIs, success metrics, and analytical requirements
- Support the modernization of clients’ marketing data lake
- Design and maintain entity-based data models for the marketing data lake
- Apply medallion architecture principles (bronze, silver, gold) to marketing data lake design
- Support analytics, personalization, customer acquisition, and lifecycle-marketing strategies
- Ensure alignment between enterprise data lake entities and Adobe RTCDP profile and event schemas
- Collaborate with engineering teams to define data ingestion, remapping, transformation, and modeling requirements
- Document data definitions, business rules, and assumptions in alignment with data governance standards
- Apply consent, privacy, and data usage controls across all use cases
- Support audit, regulatory, and risk-management inquiries with traceable and explainable data flows
- Proactively identify data quality, lineage, or control gaps and recommend remediation actions
🛠 Stack and skills
Marketing data lakes
Customer Data Platforms (CDP)
Adobe RTCDP
Medallion architecture (bronze, silver, gold)
Data modeling (conceptual, logical, physical)
Identity resolution and identity graphs
LiveRamp
Acxiom
✅ What we expect
- Bachelor’s degree in analytics, information systems, computer science, economics, or related field
- 3 – 5 years of experience in product analytics, marketing data lake, or customer data platforms
- Strong ability to translate product and business needs into data and analytics requirements
- Excellent communication skills with technical and non-technical stakeholders
- Experience in financial services or other highly regulated environments preferred
- Knowledge of data governance frameworks, data lineage, and metadata management preferred